Content Collector

# 1. Search records by keyword
feishu_bitable_app_table_record(
    action="list",
    app_token="[Your App Token]",
    table_id="[Your Table ID]",
    filter={
        "conjunction": "and",
        "conditions": [
            {"field_name": "关键词", "operator": "contains", "value": [keyword]}
        ]
    }
)

# 2. Confirm deletion
# If multiple found → list for user to select
# If single found → ask for confirmation

# 3. Execute deletion
feishu_bitable_app_table_record(
    action="delete",
    app_token="[Your App Token]",
    table_id="[Your Table ID]",
    record_id="record_id_to_delete"
)

{
  "msg_type": "post",
  "content": {
    "post": {
      "zh_cn": {
        "title": "✅ 收录完成",
        "content": [
          [
            {"tag": "text", "text": "📄 "},
            {"tag": "text", "text": "{emoji} {原标题} | {日期}", "style": {"bold": true}}
          ],
          [{"tag": "text", "text": ""}],
          [
            {"tag": "text", "text": "💡 文档亮点：", "style": {"bold": true}}
          ],
          [
            {"tag": "text", "text": "• {亮点1}"}
          ],
          [
            {"tag": "text", "text": "• {亮点2}"}
          ],
          [
            {"tag": "text", "text": "• {亮点3}"}
          ],
          [{"tag": "text", "text": ""}],
          [
            {"tag": "text", "text": "🔗 "},
            {"tag": "a", "text": "查看飞书文档", "href": "{文档URL}"}
          ]
        ]
      }
    }
  }
}

✅ 收录完成

📄 📖 OpenClaw配置指南 | 2026-03-08

💡 文档亮点：
• 完整配置示例，含9大模块详解
• 多Agent扩展配置方案
• 生产环境安全配置建议

🔗 查看飞书文档 → [点击打开](https://xxx.feishu.cn/docx/xxx)

{
  "msg_type": "post",
  "content": {
    "post": {
      "zh_cn": {
        "title": "✅ 已自动收录",
        "content": [
          [
            {"tag": "text", "text": "📄 "},
            {"tag": "text", "text": "{emoji} {原标题}", "style": {"bold": true}}
          ],
          [{"tag": "text", "text": ""}],
          [
            {"tag": "text", "text": "💡 亮点：{亮点摘要}"}
          ],
          [{"tag": "text", "text": ""}],
          [
            {"tag": "a", "text": "📎 查看文档", "href": "{文档URL}"}
          ]
        ]
      }
    }
  }
}

{
  "msg_type": "post",
  "content": {
    "post": {
      "zh_cn": {
        "title": "✅ 批量收录完成（{N}份）",
        "content": [
          [
            {"tag": "text", "text": "📄 {emoji1} {标题1}", "style": {"bold": true}}
          ],
          [
            {"tag": "text", "text": "   💡 {亮点1}"}
          ],
          [
            {"tag": "a", "text": "   🔗 查看", "href": "{链接1}"}
          ],
          [{"tag": "text", "text": ""}],
          [
            {"tag": "text", "text": "📄 {emoji2} {标题2}", "style": {"bold": true}}
          ],
          [
            {"tag": "text", "text": "   💡 {亮点2}"}
          ],
          [
            {"tag": "a", "text": "   🔗 查看", "href": "{链接2}"}
          ]
        ]
      }
    }
  }
}

### YYYY-MM-DD - Content Collection
- **新增收录**: [Title]
- **来源**: [Source]
- **分类**: [Category]
- **知识库状态**: 共[N]条记录
- **索引更新**: ✅ 已更新

import re
import requests
import os

def process_images_in_content(markdown_content):
    """
    处理 Markdown 内容中的图片：
    1. 提取图片URL
    2. 下载到本地
    3. 上传到飞书
    4. 替换为飞书图片链接
    """
    
    # 正则匹配 Markdown 图片: ![alt](url)
    img_pattern = r'!\[(.*?)\]\((https?://[^\)]+)\)'
    
    def replace_image(match):
        alt_text = match.group(1)
        img_url = match.group(2)
        
        try:
            # 1. 下载图片
            local_path = f"/tmp/img_{abs(hash(img_url)) % 100000}.jpg"
            
            headers = {
                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36'
            }
            response = requests.get(img_url, headers=headers, timeout=30)
            response.raise_for_status()
            
            with open(local_path, 'wb') as f:
                f.write(response.content)
            
            # 2. 上传到飞书
            upload_result = feishu_im_bot_upload(
                action="upload_image",
                file_path=local_path
            )
            
            image_key = upload_result.get("image_key")
            
            # 3. 清理临时文件
            os.remove(local_path)
            
            # 4. 返回飞书图片格式
            if image_key:
                return f"![{alt_text}]({image_key})"
            else:
                # 上传失败，保留原链接并添加警告
                return f"![{alt_text}]({img_url})\n\n> ⚠️ 图片上传失败，已保留原链接: {img_url}"
                
        except Exception as e:
            # 处理失败，保留原链接
            return f"![{alt_text}]({img_url})\n\n> ⚠️ 图片处理失败: {str(e)[:50]}"
    
    # 执行替换
    processed_content = re.sub(img_pattern, replace_image, markdown_content)
    
    return processed_content

# 获取原始内容
raw_content = kimi_fetch(url=link)

# 处理图片
processed_content = process_images_in_content(raw_content)

# 创建文档（使用处理后的内容）
feishu_create_doc(
    title=title,
    markdown=processed_content
)

def add_image_fallback_notice(markdown_content, original_url):
    """
    在文档末尾添加图片查看说明
    """
    notice = f"""

---

## 📎 原始图片资源

本文档中的图片已保留原始链接。
如图片无法显示，请查看原文：
[{original_url}]({original_url})

"""
    return markdown_content + notice

# 收录时同时记录图片信息
feishu_bitable_app_table_record(
    action="create",
    app_token="图片资源库_token",
    fields={
        "文档标题": doc_title,
        "图片URL": img_url,
        "图片描述": alt_text,
        "原文链接": original_url,
        "收录状态": "待上传/已上传/失败"
    }
)